SBIR TOPIC 425 PHASE I: POSTURE ANALYSIS THROUGH MACHINE LEARNING (PATHML)

炎症性乳腺癌(IBC)是晚期乳腺癌中一种罕见且高度侵袭性的亚型。小的、非编码的RNAs、microRNAs或miRs是IBC的分子生物标记物，尽管IBC的miR模式尚无共识。作为miR分析的黄金标准，RT-PCR已经确定了预测IBC侵袭性的5-miR特征。还需要其他技术来确认这些结果，补充(甚至取代)RT-PCR方法。该项目将使用钻石磁学(DM)作为一种先进的基于量子的全光学技术，用于快速、超灵敏地检测分子。DM使用荧光、氮空位中心纳米钻石(FND)来感测/检测非常弱的磁场。在目标1中，我们将利用FND和磁性纳米颗粒来检测IBC的五个miR生物标志物中的三个，使用微通道格式。在目标2中，我们将确定DM的性能参数，并使用正常和乳腺癌患者的FFPE演示该技术。这将包括DM与RT-PCR的比较。用DM检测miR靶点将是变革性的，并从根本上改变我们使用和监测癌症生物标记物的方式。这种基于量子的技术的开发将把诊断测试时间从几天减少到几分钟，并使实时、即时的护理成为可能，从而节省资金、时间和生命。

Inflammatory breast cancer, (IBC), is a rare and highly aggressive subtype of advanced breast cancer. Small, non-coding RNAs, microRNAs or miRs, are molecular biomarkers for IBC although there is no consensus miR pattern for IBC. RT-PCR, the gold standard for miR profiling, has identified a 5-miR signature predictive of IBC aggressiveness. Other technologies are still needed that can confirm these results and complement (or even supplant) RT-PCR methods. This project will use Diamond Magnetometry (DM) as an advanced quantum-based, all-optical technology for rapid, ultrasensitive sensing of molecules. DM uses fluorescent, nitrogen-vacancy center nanodiamonds (FNDs) to sense/detect very weak magnetic fields. In Objective 1, we will exploit FNDs and magnetic nanoparticles to detect three of the five miR biomarkers of IBC using a microchannel format. In Objective 2, we will determine performance parameters for DM and demonstrate the technology using FFPE from normal and breast cancer patients. This will include a comparison of DM to RT-PCR. Sensing miR targets with DM will be transformative and radically alter how we use and monitor cancer biomarkers. Development of this quantum-based technology will reduce diagnostic testing time from days to minutes, and make real-time, point of care possible, saving money, time, and lives.